Algorithm of Swarm Intelligence Using Data Clustering

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Data clustering has been applied in numerous fields such as machine learning, data mining, wireless sensor network and pattern recognition. One of the most famous clustering approaches is k-means which effectively has been used in many clustering problems, but this algorithm has some drawback such as local optimal convergence and sensitivity to preliminary points. Particle Swarm Optimization (PSO) algorithm is one of the swarm intelligence algorithms, which is applied in determining the optimal cluster centers. In this paper, a cooperative algorithm based on PSO and k-means is presented.

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